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International Journal of Engineering، جلد ۳۱، شماره ۱۰، صفحات ۱۶۸۲-۱۶۸۸
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| عنوان انگلیسی |
A New Structure for Direct Measurement of Temperature Based on Negative Temperature Coefficient Thermistor and Adaptive Neuro-fuzzy Inference System |
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| چکیده انگلیسی مقاله |
Thermistors are very commonly used for narrow temperature-range high-resolution applications, such as in medicine, calorimetry, and near ambient temperature measurements. In particular, Negative Temperature Coefficient (NTC) thermistor is very inexpensive and highly sensitive, whose sensing temperature range and sensitivity are highly limited due to the intrinsic nonlinearity and self-heating properties of NTC thermistor at high operation currents. In this research, a new structure is proposed based on adaptive neuro-fuzzy system for the modeling of sensor nonlinearity. Apart from taking self-heating phenomenon of NTC thermistor sensor, the proposed structure also measures temperature directly, without any linearizing circuitry. Neuro-fuzzy network is trained and tested through data produced in the Laboratory environment. Examination of the proposed method on test data achieved a mean squared error of 0.0195, which is considered as a significant accomplishment. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
J. Ghasemi |
Faculty of Engineering and Technology, University of Mazandaran, Babolsar, Iran
M. Mehdipoor |
Department of Electrical Engineering, Amol Institution of Higher Education, Amol, Iran
J. Rasekhi |
Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
K. Gorgani Firouzjah |
Faculty of Engineering and Technology, University of Mazandaran, Babolsar, Iran
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| نشانی اینترنتی |
http://www.ije.ir/article_82208_2f6a5def55ba03acf1c618b7677cac68.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2061733.pdf |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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